Empirical analysis with decentralized finance
Decentralized finance (DeFi) is a new suite of finance services based on blockchain that are trustless, non-custodial, permissionless and transparent. At the end of March 2022, the whole industry was reported by DefiLlama to secure more than 200 USD billion in assets. One of DeFi main innovations is...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/156403 |
| _version_ | 1826129506621980672 |
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| author | Truong, Cong Cuong |
| author2 | Sourav Sen Gupta |
| author_facet | Sourav Sen Gupta Truong, Cong Cuong |
| author_sort | Truong, Cong Cuong |
| collection | NTU |
| description | Decentralized finance (DeFi) is a new suite of finance services based on blockchain that are trustless, non-custodial, permissionless and transparent. At the end of March 2022, the whole industry was reported by DefiLlama to secure more than 200 USD billion in assets. One of DeFi main innovations is composability, which is the ability of new protocols leveraging the existing ones to unlock new use cases. This study collected addresses of 30 DeFi protocols from Polygon PoS, a side chain helping scale Ethereum network. By using Google BigQuery to collect on-chain data, the author analyzed the network comprising direct interactions between these protocols addresses and extracted building blocks from traces generated by transactions to the addresses. The result shows that the network of direct interaction is sparse, has low assortativity and there is interconnectedness between DeFi protocols. Besides, the building blocks extraction unveils the top 10 frequent building blocks in Polygon ecosystem, demonstrates the composability of DeFi and shows the importance of Quickswap and Aave within Polygon DeFi ecosystem. |
| first_indexed | 2024-10-01T07:41:43Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/156403 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:41:43Z |
| publishDate | 2022 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1564032022-04-13T01:54:38Z Empirical analysis with decentralized finance Truong, Cong Cuong Sourav Sen Gupta School of Computer Science and Engineering sg.sourav@ntu.edu.sg Engineering::Computer science and engineering Decentralized finance (DeFi) is a new suite of finance services based on blockchain that are trustless, non-custodial, permissionless and transparent. At the end of March 2022, the whole industry was reported by DefiLlama to secure more than 200 USD billion in assets. One of DeFi main innovations is composability, which is the ability of new protocols leveraging the existing ones to unlock new use cases. This study collected addresses of 30 DeFi protocols from Polygon PoS, a side chain helping scale Ethereum network. By using Google BigQuery to collect on-chain data, the author analyzed the network comprising direct interactions between these protocols addresses and extracted building blocks from traces generated by transactions to the addresses. The result shows that the network of direct interaction is sparse, has low assortativity and there is interconnectedness between DeFi protocols. Besides, the building blocks extraction unveils the top 10 frequent building blocks in Polygon ecosystem, demonstrates the composability of DeFi and shows the importance of Quickswap and Aave within Polygon DeFi ecosystem. Bachelor of Engineering (Computer Science) 2022-04-13T01:54:38Z 2022-04-13T01:54:38Z 2022 Final Year Project (FYP) Truong, C. C. (2022). Empirical analysis with decentralized finance. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/156403 https://hdl.handle.net/10356/156403 en application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Computer science and engineering Truong, Cong Cuong Empirical analysis with decentralized finance |
| title | Empirical analysis with decentralized finance |
| title_full | Empirical analysis with decentralized finance |
| title_fullStr | Empirical analysis with decentralized finance |
| title_full_unstemmed | Empirical analysis with decentralized finance |
| title_short | Empirical analysis with decentralized finance |
| title_sort | empirical analysis with decentralized finance |
| topic | Engineering::Computer science and engineering |
| url | https://hdl.handle.net/10356/156403 |
| work_keys_str_mv | AT truongcongcuong empiricalanalysiswithdecentralizedfinance |